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Kim Gustyr
11a09af20d
All numbers on one machine and environment, attributed in the docs: Apple M2 Pro, ClickHouse 25.12.11.4 in Docker, Python 3.11.11. Methodology change: scripts end their imports with 'import timing' (new perf/timing.py) which starts the clock and reports wall time and max RSS at exit. Interpreter startup and imports are excluded from timings; importing the numpy/pyarrow stack costs ~0.5 s and dominated sub-second cells under whole-process timing. New typed-projection PyArrow scripts (21-24) cover analytic extracts: int and string column subsets, clickhouse-driver vs clickhouse-connect. All perf scripts carry PEP 723 blocks with pinned versions. Scripts 15-17 updated to the current clickhouse-connect streaming API. beep boop
17 lines
390 B
Python
17 lines
390 B
Python
# /// script
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# dependencies = [
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# "clickhouse-connect==1.4.2",
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# ]
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# ///
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import sys
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import clickhouse_connect
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import timing
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query = "SELECT * FROM perftest.ontime WHERE FlightDate < '{}'".format(sys.argv[1])
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client = clickhouse_connect.get_client(host='localhost', query_limit=None, compress=False)
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with client.query_rows_stream(query) as stream:
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for row in stream:
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pass
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